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Human Transcription Error Assessment within a Simulated Electronic Health Record System


Medical practices and hospitals have adopted Electronic Health Record (EHR) systems that streamline patient information and relevant clinical data. Access to an EHR system with effective exchange of electronic health information is critical in maintaining data consistency and reliability. Human errors that occur during the transcription of data from one field to another, or from a paper to an electronic record, can negatively impact patient care and reduce efficiency. Human transcription errors can occur as early as the scheduling process, with these errors compounding as more individuals touch and re-transcribe the data. Though previous literature have touched upon error rates, they have not addressed the complexity of patient data involved with scheduling.


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